Instructions to use OzzyGT/YuE2-3B-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OzzyGT/YuE2-3B-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OzzyGT/YuE2-3B-Diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download vae/diffusion_pytorch_model.safetensors from OzzyGT/YuE2-3B-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 531 MB
-
https://huggingface.co/OzzyGT/YuE2-3B-Diffusers/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://OzzyGT/YuE2-3B-Diffusers/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/OzzyGT/YuE2-3B-Diffusers/resolve/main/vae/diffusion_pytorch_model.safetensors
531 MB
- Xet hash:
- 5ce4800efab3cafc6d9966365847b82973ee16cd7b7c1221f6d9da53d69fa800
- Size of remote file:
- 531 MB
- SHA256:
- 02ebaa1c9140a6d68a2a6a75fcdc5b57f2a02c60d01782a9a703d27b885c1f16
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